336 result(s)
Page Size: 10, 20, 50
Export: bibtex, xml, json, csv
Order by:

CNR Author operator: and / or
more
Typology operator: and / or
Language operator: and / or
Date operator: and / or
more
Rights operator: and / or
2022 Journal article Open Access OPEN
Virtual research environments co-creation: the D4Science experience
Assante M., Candela L., Castelli D., Cirillo R., Coro G., Dell'Amico A., Frosini L., Lelii L., Lettere M., Mangiacrapa F., Pagano P., Panichi G., Piccioli T., Sinibaldi F.
Virtual research environments are systems called to serve the needs of their designated communities of practice. Every community of practice is a group of people dynamically aggregated by the willingness to collaborate to address a given research question. The virtual research environment provides its users with seamless access to the resources of interest (namely, data and services) no matter what and where they are. Developing a virtual research environment thus to guarantee its uptake from the community of practice is a challenging task. In this article, we advocate how the co-creation driven approach promoted by D4Science has proven to be effective. In particular, we present the co-creation options supported, discuss how diverse communities of practice have exploited these options, and give some usage indicators on the created VREs.Source: Concurrency and computation (Online) (2022). doi:10.1002/cpe.6925
DOI: 10.1002/cpe.6925
Project(s): AGINFRA PLUS via OpenAIRE, Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, SoBigData-PlusPlus via OpenAIRE
Metrics:


See at: ISTI Repository Open Access | onlinelibrary.wiley.com Restricted | CNR ExploRA Restricted


2022 Software Unknown
Story Map Building and Visualising Tool (SMBVT)
Lenzi E., Bartalesi V., Pratelli N., Coro G., Pagano P.
In the context of the MOVING (MOuntain Valorisation through INterconnectedness and Green growth) project, we released an open-source software - the MOVING Story Map Building and Visualization Tool (SMBVT) - that allows users to create and visualise story maps within a collaborative environment and using a user-friendly Web interface. The tool uses Semantic Web technologies and the Narrative Ontology to represent the stories of the MOVING mountain Value Chains. The MOVING community access SMBVT through The MOVING story map Virtual Research Environment and creates the events of the story. For each event, the user can add: a title, a textual description, start and end dates, the geographic coordinates, a media object (i.e. a video or image), notes, and digital objects. The tool takes Wikidata as reference KB and assigns Wikidata Internationalized Resource Identifiers (IRIs) to the story components (i.e. the entities that take part in an event). All the knowledge collected by SMBVT is stored in a JSON Postgres DB. When a story is completed, the tool automatically creates the corresponding visualisation using StoryMapJS library and makes available a corresponding URL that can be freely shared. Finally, SMBVT saves the collected knowledge as a Web Ontology Language (OWL) graph and publishes it as a Linked Open Data.Project(s): "CMG Collaborative Research": A Systematic Approach to Large Amplitude Internal Wave Dynamics: An Integrated Mathematical, Observational, and Remote Sensing Model, Blue Cloud via OpenAIRE, MOVING via OpenAIRE

See at: github.com | CNR ExploRA


2022 Dataset Unknown
Virtual research environments ethnography: a preliminary study
Arezoumandan M., Candela L., Castelli D., Ghannadrad A., Mangione D., Pagano P.
This dataset is accompanying the paper "Virtual Research Environments Ethnography: a Preliminary Study" paper published at 14th International Workshop on Science Gateways 15th-17th June 2022, Trento, Italy. This is a systematic mapping study on the literature about Science gateways, Virtual Research Environments, and Virtual Laboratories.DOI: 10.5281/zenodo.6481183
Project(s): Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, DESIRA via OpenAIRE, SoBigData-PlusPlus via OpenAIRE
Metrics:


See at: CNR ExploRA


2022 Conference article Restricted
Data models for an imaging bio-bank for colorectal, prostate and gastric cancer: the NAVIGATOR project
Berti A., Carloni G., Colantonio S., Pascali M. A., Manghi P., Pagano P., Buongiorno R., Pachetti E., Caudai C., Di Gangi D., Carlini E., Falaschi Z., Ciarrocchi E., Neri E., Bertelli E., Miele V., Carpi R., Bagnacci G., Di Meglio N., Mazzei M. A., Barucci A.
Researchers nowadays may take advantage of broad collections of medical data to develop personalized medicine solutions. Imaging bio-banks play a fundamental role, in this regard, by serving as organized repositories of medical images associated with imaging biomarkers. In this context, the NAVIGATOR Project aims to advance colorectal, prostate, and gastric oncology translational research by leveraging quantitative imaging and multi-omics analyses. As Project's core, an imaging bio-bank is being designed and implemented in a web-accessible Virtual Research Environment (VRE). The VRE serves to extract the imaging biomarkers and further process them within prediction algorithms. In our work, we present the realization of the data models for the three cancer use-cases of the Project. First, we carried out an extensive requirements analysis to fulfill the necessities of the clinical partners involved in the Project. Then, we designed three separate data models utilizing entity-relationship diagrams. We found diagrams' modeling for colorectal and prostate cancers to be more straightforward, while gastric cancer required a higher level of complexity. Future developments of this work would include designing a common data model following the Observational Medical Outcomes Partnership Standards. Indeed, a common data model would standardize the logical infrastructure of data models and make the bio-bank easily interoperable with other bio-banks.Source: BHI '22 - IEEE-EMBS International Conference on Biomedical and Health Informatics, Ioannina, Greece, 27-30/09/2022

See at: CNR ExploRA Restricted


2022 Contribution to conference Open Access OPEN
Blue-Cloud: exploring and demonstrating the potential of Open Science for ocean sustainability
Schaap D., Assante M., Pagano P., Candela L.
The Blue-Cloud project is part of 'The Future of Seas and Oceans Flagship Initiative' of the European Commission and runs since October 2019. It has established a pilot cyber platform, providing researchers access to multidisciplinary datasets and derived data products from observations, in-situ and satellite-based, analytical services, and computing facilities essential for blue science to better understand and manage the many aspects of ocean sustainability. A number of core services have been delivered and are now in a phase of wider dissemination and uptake by marine researchers. Core services are the Federated Data Discovery & Access Service (DD&AS), the Blue-Cloud Virtual Research Environment (VRE), and five Blue-Cloud Virtual Labs.Source: MetroSEA 2022 - IEEE International Workshop on Metrology for the Sea, Milazzo, Italy, 3-5/10/2022
DOI: 10.5281/zenodo.7143580
Project(s): Blue Cloud via OpenAIRE
Metrics:


See at: ISTI Repository Open Access | CNR ExploRA Open Access | zenodo.org Open Access


2022 Conference article Open Access OPEN
Blue-Cloud: exploring and demonstrating the potential of Open Science for ocean sustainability
Schaap D., Assante M., Pagano P., Candela L.
The Blue-Cloud project is part of 'The Future of Seas and Oceans Flagship Initiative' of the European Commission and runs since October 2019. It has established a pilot cyber platform, providing researchers access to multidisciplinary datasets and derived data products from observations, in-situ and satellite-based, analytical services, and computing facilities essential for blue science to better understand and manage the many aspects of ocean sustainability. A number of core services have been delivered and are now in a phase of wider dissemination and uptake by marine researchers. Core services are the Federated Data Discovery & Access Service (DD&AS), the Blue-Cloud Virtual Research Environment (VRE), and five Blue-Cloud Virtual Labs.Source: MetroSEA 2022 - IEEE International Workshop on Metrology for the Sea, Milazzo, Italy, 3-5/10/2022
Project(s): Blue Cloud via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2022 Report Restricted
MOVING D3.3 - Tools for science-society-policy interfaces. Using semantic story maps to describe a territory beyond its map
Bartalesi V., Coro G., Lenzi E., Pratelli N., Pagano P.
Maps have always stimulated people's imagination and spatiotemporally supported storytelling; however, they cannot alone represent the life and emotions associated with the territories they describe. Story maps are an IT solution to enrich maps with such information. They are online applications enriched with multimedia and textual information that tell map-based stories. Current software for story map building is either commercial or requires advanced IT skills that make it hardly used by environmental experts. This deliverable describes the Story Map Building and Visualizing Tool (SBVMT), an open-source and free-to-use tool to build and publish story maps, which overcomes common drawbacks of other software by operating within the open-science e-Infrastructure (D4Science) used in the MOVING Project. SBVMT includes new features such as an ontology to represent story maps, Semantic Web technologies for data representation, automatic connection to Wikidata, secure multi-user collaboration in story building, and visualisation of the narrative either as a story map or a timeline. This deliverable shows how SBVMT can overcome the perceptual gap between territory and map. We evaluated its usability and effectiveness from both the point of view of experts building the story map and users interacting with it. Using SMBVT we created the story maps related to the MOVING selected regions. Furthermore, exploiting the semantic web technologies, we implemented several SPARQL queries that allow linking different stories and discovering new knowledge.Source: ISTI Research Report, MOVING, D3.3, 2022
Project(s): MOVING via OpenAIRE

See at: CNR ExploRA Restricted


2022 Report Open Access OPEN
InfraScience research activity report 2021
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Bove P., Candela L., Casini G., Castelli D., Cirillo R., Coro G., De Bonis M., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mangione D., Mannocci A., Ottonello E., Pagano P., Panichi G., Pavone G., Piccioli T., Sinibaldi F., Straccia U.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2021 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, eScience, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2021 InfraScience members contributed to the publishing of 25 papers, to the research and development activities of 18 research projects (15 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual report, 2022
DOI: 10.32079/isti-ar-2022/001
Project(s): ARIADNEplus via OpenAIRE, Blue Cloud via OpenAIRE, PerformFISH via OpenAIRE, EOSC-Pillar via OpenAIRE, DESIRA via OpenAIRE, EOSC Future via OpenAIRE, EOSCsecretariat.eu via OpenAIRE, EcoScope via OpenAIRE, RISIS 2 via OpenAIRE, OpenAIRE-Advance via OpenAIRE, OpenAIRE Nexus via OpenAIRE, SoBigData-PlusPlus via OpenAIRE
Metrics:


See at: ISTI Repository Open Access | CNR ExploRA Open Access


2022 Journal article Open Access OPEN
NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients
Borgheresi R., Barucci A., Colantonio S., Aghakhanyan G., Assante M., Bertelli E., Carlini E., Carpi R., Caudai C., Cavallero D., Cioni D., Cirillo R., Colcelli V., Dell'Amico A., Di Gangi D., Erba P. A., Faggioni L., Falaschi Z., Gabelloni M., Gini R., Lelii L., Liò P., Lorito A., Lucarini S., Manghi P., Mangiacrapa F., Marzi C., Mazzei M. A., Mercatelli L., Mirabile A., Mungai F., Miele V., Olmastroni M., Pagano P., Paiar F., Panichi G., Pascali M. A., Pasquinelli F., Shortrede J. E., Tumminello L., Volterrani L., Neri E., On Behalf Of The Navigator Consortium Group
NAVIGATOR is an Italian regional project to boost precision medicine in oncology with the aim to make it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses. The project's goal is to develop an open imaging biobank for the collection and preservation of a large amount of standardised imaging multimodal datasets, including computed tomography, magnetic resonance imaging, and positron emission tomography data, together with the corresponding patient-related and omics-related relevant information extracted from regional healthcare services using an adapted privacy-preserving model. The project is based on an open-source imaging biobank and an open-science oriented virtual research environment (VRE). Available integrative omics and multi-imaging data of three use cases (prostate cancer, rectal cancer, and gastric cancer) will be collected. All data confined in NAVIGATOR (i.e. standard and novel imaging biomarkers, non-imaging data, health agency data) will be used to create a digital patient model, to support the reliable prediction of the disease phenotype and risk stratification. The VRE that relies on a well-established infrastructure, called D4Science.org, will further provide a multiset infrastructure for processing the integrative omics data, extracting specific radiomic signatures, and for identification and testing of novel imaging biomarkers through big data analytics and artificial intelligence.Source: European radiology experimental Online 6 (2022). doi:10.1186/s41747-022-00306-9
DOI: 10.1186/s41747-022-00306-9
Metrics:


See at: eurradiolexp.springeropen.com Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2021 Journal article Open Access OPEN
ReLock: a resilient two-phase locking RESTful transaction model
Frosini L., Pagano P., Candela L., Simi M., Bernardeschi C.
Service composition and supporting transactions across composed services are among the major challenges characterizing service-oriented computing. REpresentational State Transfer (REST) is one of the approaches used for implementing Web services that is gaining momentum thanks to its features making it suitable for cloud computing and microservices-based contexts. This paper introduces ReLock, a resilient RESTful transaction model introducing general purpose transactions on RESTful services by a layered approach and a two-phase locking mechanism not requesting any change to the RESTful services involved in a transaction.Source: Service-oriented computing and applications (Internet) (2021). doi:10.1007/s11761-020-00311-z
DOI: 10.1007/s11761-020-00311-z
Project(s): Blue Cloud via OpenAIRE
Metrics:


See at: ISTI Repository Open Access | Service Oriented Computing and Applications Restricted | link.springer.com Restricted | CNR ExploRA Restricted


2021 Report Open Access OPEN
ARIADNEPlus - VREs operation mid-term activity report
Assante M., Cirillo R., Dell'Amico A., Pagano P., Candela L., Frosini L., Lelii L., Mangiacrapa F., Panichi G., Sinibaldi F.
This deliverable D13.2 - "VREs Operation Mid-term Activity Report" describes the activities carried out during the first 24 months of the ARIADNEplus project within Work Package 13. Specifically, in Task 13.1 Infrastructure Operation (JRA2.1) and Task 13.3 VREs Operation (JRA2.3). It reports the procedures governing the operation of the VREs as well as the status of the aggregated resources at mid-term in the ARIADNEplus infrastructure.Source: Project report, ARIADNEplus, D13.2, 2021
Project(s): ARIADNEplus via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Journal article Open Access OPEN
An Open Science approach to infer fishing activity pressure on stocks and biodiversity from vessel tracking data
Coro G., Ellenbroek A., Pagano P.
Vessel tracking data help study the potential impact of fisheries on biodiversity and produce risk assessments. Existing workflows process vessel tracks to identify fishing activity and integrate information on species vulnerability. However, there are significant data integration challenges across the data sources needed for an integrated impact assessment due to heterogeneous nomenclatures, data accessibility issues, geographical and computational scalability of the processes, and confidentiality and transparency towards decision making authorities. This paper presents an Open Science data integration approach to use vessel tracking data in integrated impact assessments. Our approach combines heterogeneous knowledge sources from fisheries, biodiversity, and environmental observations to infer fishing activity and risks to potentially impacted species. An Open Science e-Infrastructure facilitates access to data sources and maximises the reproducibility of the results and the method's reusability across several application domains. Our method's quality is assessed through three case studies: The first demonstrates cross-dataset consistency by comparing the results obtained from two different vessel data sources. The second performs a temporal pattern analysis of fishing activity and potentially impacted species over time. The third assesses the potential impact of reduced fishing pressure on marine biodiversity and threatened species due to the 2020 COVID-19 lockdown in Italy. The method is meant to be integrated with other systems through its Open Science-oriented features and can rapidly use new sources of findable, accessible, interoperable, and reusable (FAIR) data. Other systems can use it to (i) classify vessel activity in data-limited scenarios, (ii) identify bycatch species (when catchability data are available), and (iii) study the effects of fisheries on habitats and populations' growth.Source: Ecological informatics (Print) 64 (2021). doi:10.1016/j.ecoinf.2021.101384
DOI: 10.1016/j.ecoinf.2021.101384
Project(s): Blue Cloud via OpenAIRE
Metrics:


See at: ISTI Repository Open Access | ISTI Repository Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | www.sciencedirect.com Open Access


2021 Journal article Open Access OPEN
Data Science: a game changer for science and innovation
Grossi V., Giannotti F., Pedreschi D., Manghi P., Pagano P., Assante M.
This paper shows data science's potential for disruptive innovation in science, industry, policy, and people's lives. We present how data science impacts science and society at large in the coming years, including ethical problems in managing human behavior data and considering the quantitative expectations of data science economic impact. We introduce concepts such as open science and e-infrastructure as useful tools for supporting ethical data science and training new generations of data scientists. Finally, this work outlines SoBigData Research Infrastructure as an easy-to-access platform for executing complex data science processes. The services proposed by SoBigData are aimed at using data science to understand the complexity of our contemporary, globally interconnected society.Source: International Journal of Data Science and Analytics (Print) 11 (2021): 263–278. doi:10.1007/s41060-020-00240-2
DOI: 10.1007/s41060-020-00240-2
Metrics:


See at: link.springer.com Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | International Journal of Data Science and Analytics Restricted | International Journal of Data Science and Analytics Restricted


2021 Conference article Open Access OPEN
Realising a science gateway for the Agri-food: the AGINFRAplus experience
Assante M., Boizet A., Candela L., Castelli D., Cirillo R., Coro G., Fernandez E., Filter M., Frosini L., Kakaletris G., Katsivelis P., Knapen R., Lelii L., Lokers R., Mangiacrapa F., Pagano P., Panichi G., Penev L., Sinibaldi F., Zervas P.
The enhancements in IT solutions and the open science movement are injecting changes in the practices dealing with data collection, collation, processing and analytics, and publishing in all the domains, including agri-food. However, in implementing these changes one of the major issues faced by the agri-food researchers is the fragmentation of the "assets" to be exploited when performing research tasks, e.g. data of interest are heterogeneous and scattered across several repositories, the tools modellers rely on are diverse and often make use of limited computing capacity, the publishing practices are various and rarely aim at making available the "whole story" with datasets, processes, workflows. This paper presents the AGINFRA PLUS endeavour to overcome these limitations by providing researchers in three designated communities with Virtual Research Environments facilitating the use of the "assets" of interest and promote collaboration.Source: 11th International Workshop on Science Gateways, Ljubljana, Slovenia, 12-14/06/2019
Project(s): AGINFRA PLUS via OpenAIRE

See at: ceur-ws.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN
InfraScience Research Activity Report 2020
Artini M., Assante M., Atzori C., Baglioni M., Bardi A., Candela L., Casini G., Castelli D., Cirillo R., Coro G., Debole F., Dell'Amico A., Frosini L., La Bruzzo S., Lazzeri E., Lelii L., Manghi P., Mangiacrapa F., Mannocci A., Pagano P., Panichi G., Piccioli T., Sinibaldi F., Straccia U.
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2020 to highlight the major results. In particular, the InfraScience group confronted with research challenges characterising Data Infrastructures, e\-Sci\-ence, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, \ie D4Science and OpenAIRE. During 2020 InfraScience members contributed to the publishing of 30 papers, to the research and development activities of 12 research projects (11 funded by EU), to the organization of conferences and training events, to several working groups and task forces.Source: ISTI Annual Report, ISTI-2021-AR/002, pp.1–20, 2021
DOI: 10.32079/isti-ar-2021/002
Project(s): ARIADNEplus via OpenAIRE, Blue Cloud via OpenAIRE, PerformFISH via OpenAIRE, EOSC-Pillar via OpenAIRE, DESIRA via OpenAIRE, EOSCsecretariat.eu via OpenAIRE, RISIS 2 via OpenAIRE, TAILOR via OpenAIRE, I-GENE via OpenAIRE, MOVING via OpenAIRE, OpenAIRE-Advance via OpenAIRE, SoBigData-PlusPlus via OpenAIRE
Metrics:


See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN
Blue Cloud - D4.4: Blue Cloud VRE Common Facilities (Release 2)
Assante M., Candela L., Pagano P., Cirillo R., Dell'Amico A., Frosini L., Lelii L., Lettere M., Mangiacrapa F., Panichi G., Sinibaldi F.
The Blue-Cloud project is piloting a cyber platform bringing together and providing access to multidisciplinary data from observations and models, analytical tools, and computing facilities essential to support research to understand better and manage the many aspects of ocean sustainability. This goal is realised by developing, deploying and operating the Blue-Cloud platform whose architecture consists of two major families of components: (a) the Blue Cloud Data Discovery and Access System to serve federated discovery and access to 'blue data' infrastructures; and (b) the Blue Cloud Virtual Research Environment (VRE) component to provide a Blue Cloud VRE as a federation of computing platforms and analytical services. This Deliverable D4.4 "Blue Cloud VRE Common Facilities (Release 2)" is the revised version of the D4.2 "Blue Cloud VRE Common Facilities (Release 1)". This revised version of the document covers the second period of the project, from M13 up to M27, including the up-to-date information of the services reported on D4.2 and the new services that have been developed and added to the VRE common facilities in the reporting period to serve the needs of the Blue Cloud community. The major changes and new services this deliverable introduces are: an Orchestrator (cf. Sec. 3.3), i.e. a software that allows for a declarative, technology agnostic definition of workflows to coordinate the execution of tasks across diverse services and systems; enhancements to the Workspace service to support tailored storage persistence and satisfy different application scenarios (cf. Sec. 4.1); enhancements in the Publishing Framework (cf. Sec. 6), namely the catalogue extension to deposit catalogue items to Zenodo and the facility to publish geospatial data from the workspace; the facility to interface with the Data Discovery & Access System (cf. Sec. 7.1) to transfer datasets of interest into the workspace for future uses; the notebook to facilitate the exploitation of the WEkEO Harmonised Data Access (HDA) API (cf. Sec. 7.2). This deliverable also updates the Identity and Access Management (cf. Sec. 3.1) and the Analytics Framework (cf. Sec. 5.1 and Sec 5.2) with minor changes reflecting the activities performed in the reporting period. A description of all the services previously documented in D4.2, not modified in the period, is preserved for this document to be self-contained and provide the reader with an overall description of the whole VRE Common Facilities offering. A total of 15 services and components are described in this deliverable by reporting their design principles, architecture and main features. These services and components contribute functionalities to the Blue Cloud VRE Enabling Framework (Identity and Access Management, VRE Management, Orchestrator), Collaborative framework (Workspace and Social Networking), Analytics Framework (Software and Algorithm Importer, Smart Executor), Publishing Framework (Catalogue Service) and improved support for RStudio, JupyterHub, ShinyProxy, and Docker Applications. Additionally, two new VRE services, aiming at bridging two VRE external systems such as the the WEkEO1 catalogue from Copernicus and the Data Discovery and Access from Blue-Cloud with the VRE tools are described. Services and components discussed in this deliverable have contributed to 14 gCube releases, from gCube 4.26 (November 2020) to gCube 5.6.0 (November 2021). They have been used to develop and operate the Virtual Laboratories of the Blue Cloud gateway https://blue-cloud.d4science.org and its underlying infrastructure. At the time of this deliverable the Blue-Cloud gateway and its services are serving more than 730 users with a total of 19000+ working sessions.Source: ISTI Project report, Blue Cloud, D4.4, 2021
Project(s): Blue Cloud via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN
DESIRA - D5.2: Virtual Research Environment Operation Report years 1-2
Assante M., Candela L., Cirillo R., Dell'Amico A., Frosini L., Lelii L., Mangiacrapa F., Pagano P., Panichi G., Sinibaldi F.
This deliverable D5.2 "Virtual Research Environment Operation Report years 1-2" describes the activities carried out during the first 24 months of the DESIRA project within Work Package 5. Specifically in Task 5.1 "Knowledge Infrastructure: the DESIRA Virtual Research Environment" and Task 5.2 "Integration of Services and Tools, and Use Reporting". It reports the procedures governing the operation of the VREs as well as the status of the aggregated resources at mid-term in the DESIRA infrastructure. Virtual Research Environments (VREs) are "systems" specifically conceived to provide their users with a web-based set of facilities (including services, data and computational facilities) to accomplish a set of tasks by dynamically relying on the underlying infrastructure. VREs are among the key products to be developed and delivered by the DESIRA project to support Project coordination, Living Labs activities and Rural Digitization Forums activities. The development of VREs is based on three main activities: (i) the development of software artefacts that realise a set of functions (including those needed for accessing specific datasets), (ii) the deployment of these artefacts in an operational infrastructure following the release procedures and tools, and (iii) the final deployment and operation of well-defined Virtual Research Environments by exploiting the facilities offered by the underlying D4Science infrastructure and its services [1, 2]. This report documents the last of the above three activities - i.e. the exploitation of the services and technologies offered by the underlying infrastructure to serve the needs of defined scenarios - as implemented in the context of the DESIRA project from June 2019 to May 2021. The DESIRA Infrastructure Gateway actually offers end-user access to 14 VREs. As of June 2019, 1 VREs were created and operated. Specifically, the DESIRA Project VRE (cf. Sec 3.1.1) was created before the project kick-off. As of May 2021, these VREs have served the needs of more than 370 users and more than 7.000 user sessions. This required dealing with 177 tickets (103 related to the project management, 28 requests for support and enhancements, five requests for incidents and bugs, 14 requests for VRE creations).Source: ISTI Project report, DESIRA, D5.2, 2021
Project(s): DESIRA via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Open Access OPEN
SoBigData-PlusPlus - D9.1: SoBigData e-Infrastructure Operation Report 1
Assante M., Candela L., Cirilli R., Dell'Amico A., Frosini L., Lelii L., Mangiacrapa F., Pagano P., Panichi G., Sinibaldi F.
This deliverable describes the activities carried out during the first 18 months within Work Package 9 for the SoBigData e-Infrastructure operation activity since its deployment, including a detailed set of usage indicators (i.e. the number of users, accesses to resources, usage of resources from scientists, etc.). It also reports the deployment and procedures governing the operation of the Virtual Research Environments, the catalogue, and the ones for the services devoted to Data Analytics. A total of 15 Virtual Research Environments (VREs) have been created and are operational. In particular, the SoBigData gateway provide its users with: 6 Exploratories VREs paired with the use cases (Demography, Economy & Finance 2.0; Migration Studies; Societal Debates and Misinformation Analysis; Social Impacts of AI and Explainable Machine Learning; Sports Data Science; Sustainable Cities for Citizens); 2 Virtual Lab VREs - SoBigDataLab and OpenScienceGraphLab to exploit and experiment tools and solutions; 3 Applications VREs - TagME, SMAPH, M-Atlas; 2 Project Internal VREs - SoBigData.eu VRE for the communications and collaboration among project and initiative members and SBD-InfraCore VRE for supporting SoBigData-PlusPlus WP9; and 2 Literacy And Training VREs - the SoBigDataLiteracy, supporting Critical Data Literacy of task T.2.4, creating a curated collection of literature of interest for the SoBigData Community, and the e-Learning_Area VRE to host training materials developed within the SoBigData project. As of June '21, the 15 existing VREs served more than 8,000 users by a total of more than 30,000 working sessions, with an average of 1500 working sessions per month with increasing trend. This required to deal with approximately 40 issue tracker tickets (14 requests for support, 6 requests for incidents and bugs, 9 requests for new features, and 9 requests for Virtual Machine or Container creations).Source: ISTI Project report, SoBigData-PlusPlus, D9.1, 2021
Project(s): SoBigData-PlusPlus via OpenAIRE

See at: CNR ExploRA Open Access


2021 Report Open Access OPEN
Blue Cloud - D2.7: Blue Cloud Architecture (Release 2)
Schaap Dick M. A., Thijsse P., Pagano P., Assante M., Candela L., Boldrini E., Buurman M., D'Antonio M., Ariyo C., Maudire G., Nys C.
This deliverable D2.7 describes the Blue Cloud architecture as it is known at Month 20. It is the second release of the architecture and an update of the earlier 1st release of the Blue-Cloud architecture document D2.6. It is expected that there will be further developments and refinements to the Blue Cloud system. For that purpose, one more release of the architecture document is planned, namely report D2.8 in Month 27. In order to make it easier for readers and reviewers, a table is included as part of Chapter 1, which indicates the elements and sections of this Deliverable 2.7, which have been updated or added in comparison with the earlier Deliverable 2.6. The technical framework of the pilot Blue-Cloud features: 1) the Blue Cloud Data Discovery and Access service component to serve federated discovery and access to blue data infrastructures 2) the Blue Cloud Virtual Research Environment (VRE) component to provide a Blue Cloud VRE as a federation of computing platforms and analytical services. In this report, the current architecture and functionalities of each of these components are described in detail as well as the roles of partners that are developing and hosting modules. The Blue Cloud Data Discovery and Access service architecture is based upon a combination of the DAB metadata broker service of CNR-IIA, and the SeaDataNet CDI service modules as developed by MARIS, IFREMER, and EUDAT in the framework of the EU SeaDataCloud project. For the Blue-Cloud Data Discovery and Access service and its modules, additional developments were needed such as adapting and upgrading of existing services, adding new services, testing modules, integrating modules, and testing the integrated service, in order to achieve the planned functionality. The Blue Cloud VRE is largely based upon the existing D4Science e-infrastructure as developed and managed by CNR-ISTI. This e-infrastructure from the start hosted already multiple Virtual Labs and offered a variety of services. These services have been adopted and adapted for the Blue Cloud and new services have been added, while also new Virtual Labs have been constructed and deployed as part of the Blue-Cloud Demonstrators. The D4Science e-infrastructure also already had proven solutions for connecting to external computing platforms and means for orchestrating distributed services, which are instrumental for smart connections to the other e-infrastructures in the Blue-Cloud system. The Blue Cloud demonstrators are developed as Virtual Labs embedded in the D4Science VRE e- infrastructure and supported by data input from the Blue Cloud Data Discovery and Access service and other data resources, and additional computing services. The demonstrators are worked out in a cooperation between WP3 and WP4, analysing their scientific workflows and technical set-up, and considering the D4Science VRE infrastructure and services that provide the basis platform. As part of their development, the demonstrators have required upgrading of existing functionality and development of additional services. This is described, where relevant, in this document. In addition, consideration is given to integration aspects, such as two-way linking between the 2 Blue Cloud components, and expanding the VRE with additional platforms for computing and algorithms, and where needed for specific demonstrators, direct access to data infrastructures. Moreover, aspects of authentication and monitoring are considered on full Blue Cloud scale. The Blue Cloud architecture as described in this report, is designed to be scalable and sustainable for near-future expansions, such as connecting additional blue data infrastructures, implementing more and advanced blue analytical services, configuring more dedicated Virtual Labs, and targeting more (groups of) users.Source: ISTI Project report, Blue Cloud, D2.7, pp.1–96, 2021
Project(s): Blue Cloud via OpenAIRE

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2020 Contribution to book Open Access OPEN
Data Processing and Analytics for Data-Centric Sciences
Candela L., Coro G., Lelii L., Panichi G., Pagano P.
The development of data processing and analytics tools is heavily driven by applications, which results in a great variety of software solutions, which often address specific needs. It is difficult to imagine a single solution that is universally suitable for all (or even most) application scenarios and contexts. This chapter describes the data analytics framework that has been designed and developed in the ENVRIplus project to be (a) suitable for serving the needs of researchers in several domains including environmental sciences, (b) open and extensible both with respect to the algorithms and methods it enables and the computing platforms it relies on to execute those algorithms and methods, and (c) open-science-friendly, i.e. it is capable of incorporating every algorithm and method integrated into the data processing framework as well as any computation resulting from the exploitation of integrated algorithms into a "research object" catering for citation, reproducibility, repeatability and provenance.Source: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences. A Reference Model Guided Approach for Common Challenges., edited by Zhao Z.; Hellström M., pp. 176–191, 2020
DOI: 10.1007/978-3-030-52829-4_10
Project(s): ENVRI PLUS via OpenAIRE
Metrics:


See at: doi.org Open Access | link.springer.com Open Access | link.springer.com Open Access | ISTI Repository Open Access | CNR ExploRA Open Access